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  "access_rights": "",
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  "author": "Linghui Meng",
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  "author": "Linghui Meng",
            
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  "doi": "10.57702/ttn4s8ar",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-03",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Jin Xu",
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      "extra_author": "Jin Xu",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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    {
            
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      "extra_author": "Xu Tan",
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      "extra_author": "Xu Tan",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    {
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    {
            
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      "extra_author": "Jindong Wang",
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      "extra_author": "Jindong Wang",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Tao Qin",
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      "extra_author": "Tao Qin",
            
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      "orcid": ""
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Bo Xu",
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      "extra_author": "Bo Xu",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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      "title": "Low-resource"
            
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    {
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    {
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Speech Recognition",
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      "display_name": "Speech Recognition",
            
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      "name": "speech-recognition",
            
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      "title": "Speech Recognition"
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      "title": "Speech Recognition"
            
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  "name": 
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  "name": 
            
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ech--data-augmentation-for-low-resource-automatic-speech-recognition",
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ech--data-augmentation-for-low-resource-automatic-speech-recognition",
            
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  "notes": "MixSpeech is a data augmentation method for automatic 
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  "notes": "MixSpeech is a data augmentation method for automatic 
            
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speech recognition, which trains an ASR model by taking a weighted 
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speech recognition, which trains an ASR model by taking a weighted 
            
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combination of two different speech features as the input, and 
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combination of two different speech features as the input, and 
            
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recognizing both text sequences.",
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recognizing both text sequences.",
            
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  "tags": [
            
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      "name": "ASR",
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      "name": "ASR",
            
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      "display_name": "Low-resource",
            
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      "id": "4eea05c2-568c-459e-8440-b378838ea38f",
            
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      "name": "Low-resource",
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      "name": "Low-resource",
            
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      "state": "active",
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      "state": "active",
            
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    },
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    },
            
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    {
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    {
            
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      "display_name": "Mixup",
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      "display_name": "Mixup",
            
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      "id": "496322ba-cece-4247-81a6-abda86deab15",
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      "id": "496322ba-cece-4247-81a6-abda86deab15",
            
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      "name": "Mixup",
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      "name": "Mixup",
            
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      "state": "active",
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      "vocabulary_id": null
            
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    }
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    }
            
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  ],
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  ],
            
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  "title": "MIXSPEECH: DATA AUGMENTATION FOR LOW-RESOURCE AUTOMATIC 
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  "title": "MIXSPEECH: DATA AUGMENTATION FOR LOW-RESOURCE AUTOMATIC 
            
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SPEECH RECOGNITION",
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SPEECH RECOGNITION",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "version": ""
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  "version": ""
            
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}
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}